Pith Number
pith:GBYVUXJZ
pith:2020:GBYVUXJZIMGZDV3GKSMEBDCNMO
not attested
not anchored
not stored
refs pending
MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
arxiv:2009.10945 v1 · 2020-09-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GBYVUXJZIMGZDV3GKSMEBDCNMO}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T01:37:27.680874Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30715a5d39430d91d7665498408c4d638f74ed940d388e939cde29b50747c30b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GBYVUXJZIMGZDV3GKSMEBDCNMO \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 30715a5d39430d91d7665498408c4d638f74ed940d388e939cde29b50747c30b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "17d835b3c6a26feafb35e35c74f7c86f7b7a14f5298a476dfb2bf1b3c20e49df",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-09-23T06:31:59Z",
"title_canon_sha256": "6f17ab03c418fb4af880974e68199e7d6784b575830f7f16b18af32deb0936bd"
},
"schema_version": "1.0",
"source": {
"id": "2009.10945",
"kind": "arxiv",
"version": 1
}
}